Question: Is there a search engine that can handle typo tolerance and provides high availability, suitable for large-scale applications?

If you want a search engine that can handle typos and is available all the time, Meilisearch is a great option. This open-source search engine delivers fast and relevant results even with typos, and supports integrations like filters, language detection and custom relevance. It also prioritizes high availability and can run on any infrastructure with its Docker support. Meilisearch has good security controls and flexible pricing, too, so it's a good option for big projects.

Another good option is Exa. This search engine uses transformer-based AI models to deliver results that are contextually relevant and can accept natural language search queries. It's good at delivering high-quality web content and can perform similarity searches by crawling and parsing content. And because it can deliver thousands of results immediately, Exa is good for big applications that need high availability and serious search power.

If you want something more AI-based, Algolia provides an AI-powered search foundation that can be easily integrated with your app. It combines traditional keyword search with more advanced features like dynamic re-ranking and personalization, and it's good for e-commerce, mobile apps and other industries. Algolia has good documentation and flexible pricing, too, so it's good for a broad range of developers.

Last is Trieve, a full-stack infrastructure that offers more advanced search features like semantic vector search and RAG experiences. It supports private managed embedding models and hybrid search, which can be useful for apps that need more advanced search features like semantic search and date recency biasing. Trieve offers flexible hosting options and good support, too, so it's a good option for high-availability search apps.